Highlights
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Temporal-Aware Radar Semantic Segmentation Network
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
pyntcloud is a Python library for working with 3D point clouds.
[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/MCP/Docker/Zotero
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-IC…
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Release repo for our SLAM Handbook
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
OpenMMLab Detection Toolbox and Benchmark
[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
(ICRA '25) Radar4VoxMap: Accurate Odometry from Blurred Radar Observations
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
(RA-L) Repository for paper "Enhanced Pose Detection of Nearby Vehicles Using LiDAR and Prior Shape for Autonomous Driving"
Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors
Toolbox for quantitative trajectory evaluation of VO/VIO
Livox-Free-Space is a fast and effective free-space detection package using Livox LiDAR data.
Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.
Paper quality plot using Matlab